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-resolution imaging, phase retrieval, image reconstruction, inverse problems, and scalable computational approaches for analysing large microscopy datasets. Experience in electron microscopy, quantitative
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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust
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support global efforts to monitor ocean health and climate change impacts. The project You will combine traditional net-derived plankton data with image-based observations from ship surveys and oceanic
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techniques for such privacy-preserving computation outsourcing such as Trusted Execution Environment (e.g., Intel SGX) and Fully Homomorphic Encryption (TFHE, BGV). Furthermore, the specific functions
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encryption to ensure that model updates, gradients, and intermediate representations remain confidential throughout the collaborative workflow. Defenses against model extraction and chain-of-thought
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– based on a Sheffield-developed revolutionary imaging paradigm with the tongue-twisting name ‘ptychography’ – we plan to demonstrate unprecedented resolution and maximum image contrast, revealing sample
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. Required knowledge Python programming Machine learning background Text analysis Image analysis Learn more about minimum entry requirements .
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. Required knowledge Python programming Machine learning background Text analysis Image analysis Learn more about minimum entry requirements .
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for detecting and mitigating the presence of deepfakes in digital content. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis Learn more about minimum entry requirements .